DiffSinger
Speech-Backbones
| DiffSinger | Speech-Backbones | |
|---|---|---|
| 1 | 1 | |
| 223 | 529 | |
| - | 2.5% | |
| 10.0 | 0.0 | |
| over 2 years ago | 8 months ago | |
| Python | Jupyter Notebook | |
| MIT License | - |
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DiffSinger
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[D] What is the best open source text to speech model?
DiffTTS (DiffSinger) submitted: Apr 3, 2021 paper: https://arxiv.org/pdf/2104.01409v1.pdf github: https://github.com/keonlee9420/DiffSinger
Speech-Backbones
What are some alternatives?
radtts - Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
Bangla-Spoken-Number-Recognition - recognizing spoken Bangla numbers using MFCCs and CNN.
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
STYLER - Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
vits - VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech